Product Manager Data Publishing and Processing

Job responsibilities

• Develops a product strategy and vision for data sharing that delivers value to both data publishers and consumers, supporting a wide range of consumption platforms (e.g., Snowflake, Databricks, APIs, external partners)
• Manages discovery efforts and market research to uncover customer needs and integrate them into the data sharing product roadmap
• Owns, maintains, and develops a product backlog that enables development of a unified, intelligent data sharing framework, supporting features such as platform-specific sharing patterns, entitlements, data contracts, and cost optimization
• Builds the framework and tracks the products key success metrics such as time-to-data, cost efficiency, compliance, and user satisfaction

Required qualifications, capabilities, and skills

• 10+ years of experience or equivalent expertise in product management or a relevant domain area (data platforms, data governance, analytics, or cloud)
• Advanced knowledge of the product development life cycle, design, and data analytics
• Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
• AWS solutioning experience across big data domain services (e.g., EKS, Glue, S3, EventBridge, Lamda, Flink)
• Experience with data lake architectures and modern data sharing patterns (e.g., Iceberg, Snowflake, zero-copy sharing)
• Familiarity with data pipeline orchestration and event-driven architecture

Preferred qualifications, capabilities, and skills

• Demonstrated prior experience working in a highly matrixed, complex organization
• Experience with data sharing, data governance, or data platform products in the financial services industry
• Familiarity with modern data architectures, data contracts, entitlements, and cost optimization in cloud or hybrid environments
• Hands on experience across common consumption platforms (e.g., Snowflake, Databricks)
• Knowledge of data cataloging, metadata management, and entitlement services
• Familiarity with API-first product design and integration patterns
• Understanding of security, privacy, and compliance requirements for financial enterprise data sharing